EP2524346A2 - Représentation à base de relations de participants dans un cyberespace partagé - Google Patents

Représentation à base de relations de participants dans un cyberespace partagé

Info

Publication number
EP2524346A2
EP2524346A2 EP10843461A EP10843461A EP2524346A2 EP 2524346 A2 EP2524346 A2 EP 2524346A2 EP 10843461 A EP10843461 A EP 10843461A EP 10843461 A EP10843461 A EP 10843461A EP 2524346 A2 EP2524346 A2 EP 2524346A2
Authority
EP
European Patent Office
Prior art keywords
user
value
relationship
social network
shared
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP10843461A
Other languages
German (de)
English (en)
Other versions
EP2524346A4 (fr
Inventor
George Moromisato
Karen Donoghue
Jason E. Schleifer
Sook Yeon Kim
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Microsoft Corp
Original Assignee
Microsoft Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Microsoft Corp filed Critical Microsoft Corp
Publication of EP2524346A2 publication Critical patent/EP2524346A2/fr
Publication of EP2524346A4 publication Critical patent/EP2524346A4/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management

Definitions

  • an online community or virtual community is made up of a group of people that primarily interact using online communication media such as Internet-based news, email, Internet-based social networking sites, chat rooms, forum discussions and instant messaging, for example, rather than in person.
  • online communication media such as Internet-based news, email, Internet-based social networking sites, chat rooms, forum discussions and instant messaging, for example, rather than in person.
  • the online community is used for entertainment, social,
  • Online communities can supplement relational communication between people who know each other in real life, and are also often a primary form of communication between those who rarely meet in person, but may maintain close online relationships.
  • online social networking and communications including social networking sites, online game sites, online chat rooms and forums that use voice, video text and/or avatars.
  • online communities utilize a shared online environment that provides for users to interact with each other, such as a social site, virtual world or online game, and/or collaborate or follow each other, such as in micro blogging, blogging, online meetings, presentations, and live forum discussions.
  • connections e.g., "friends”
  • current systems merely display the members in a same fashion (e.g., having a same prominence in the display area), and provide some rudimentary sorting, such as by time of update or alphabetically.
  • present shared online spaces typically use some type of avatar or other visual representation to identify a participant member to the user.
  • a shared online space comprises a large number of participants with which the user interacts
  • a problem of scale arises when many participants are attempting to do something online together, or over a period of time and are represented as updates on the user's display. For example, it may be hard to identify
  • One or more techniques and/or systems are disclosed that can present the user with a user interface that adapts to how participant avatars, for example, are displayed in the available display space of the shared online space.
  • the adaptation can allow for those member participants having a closer online relationship with the user to have their avatars displayed more prominently (e.g., larger) than those having a more distant online relationship.
  • the avatars can be arranged and scaled in the display in a manner that fills the display area, or accommodates a particular size, while maintaining the visual distinctions based on the closeness of the relationship.
  • a relationship value can be determined between the user and a member of the shared online space.
  • an interaction value can be determined for the user and member relationship that is based on the user's and member's co-presence in the shared online space (e.g., being logged into the same site at the same time).
  • a social network value can be determined for the user and member relationship that is based on a number of social network connections between the user and member, such as following feeds, and/or social connections online. The interaction value and social network value can be combined for the user and member to determine the relationship value.
  • the relationship value can be associated to a specified visual representation of the member used in the shared online space.
  • two or more visual representations of members can be scaled in the user's display in the shared online space in order to fit an available screen space. The scaling can be based on the relationship value, for example, such that a higher relationship value yields a larger representation in the display.
  • FIG. 1 is an illustration of an exemplary environment where aspects of one or more of the techniques and/or systems described herein may be implemented.
  • FIG. 2 is a flow diagram illustrating an exemplary method for presenting members of a shared online space to a user of the shared online space.
  • Fig. 3 is a flow diagram illustrating one exemplary embodiment of a method for determining the interaction value.
  • Fig. 4 is a flow diagram illustrating one embodiment of at least a portion of a method for determining a relationship value.
  • Fig. 5 is a diagram illustrating one exemplary embodiment of how member representations can be displayed in an online shared space.
  • Fig. 6 is a component diagram illustrating one embodiment of how semantic application data can be applied to member images.
  • Fig. 7 is a component block diagram of an exemplary system for presenting members of a shared online space to a user of the shared online space.
  • Fig. 8 is a component block diagram illustrating an exemplary embodiment of at least a portion of an implementation of a system described herein.
  • Fig. 9 is an illustration of an exemplary computer-readable medium comprising processor-executable instructions configured to embody one or more of the provisions set forth herein.
  • FIG. 10 illustrates an exemplary computing environment wherein one or more of the provisions set forth herein may be implemented.
  • Fig. 1 is an illustration of an exemplary environment 100 where aspects of one or more the techniques and/or systems described herein may be implemented.
  • the exemplary environment 100 comprises a shared online space 102, such as a web-based chat room (e.g., comprised in a social networking site, an online collaboration site, an online gaming site, etc.). While social networking sites and other sites where users link with other members are often used for a variety of purposes (e.g., games, professional development, fantasy, social interaction, etc.) they are commonly used to chat with other members.
  • a chat area 104 may show the chat as it happens, and the user can send chats to the chat room using the chat bar 1 10.
  • the shared online space 102 comprises a list of connections 108 for the user (Jeremy25), sometimes referred to as a buddy list.
  • the buddy list 108 typically comprises a list of members of the shared online space 102 with which the user (Jeremy25) has a connection (e.g., friend).
  • a method may be devised that can provide a user with a user interface, for example, that adapts how members connected to the user (e.g., participants in a shared online space) are displayed to the user.
  • Images of the members can be displayed based on a strength of a relationship between the user and respective members, for example, where members having a closer relationship with the user are displayed more prominently than those having a more distant relationship, at least online.
  • the presentation of participant members can grow and scale "organically," that is, adapting to a number of members and relationships without visual jarring in the available display space.
  • Fig. 2 is a flow diagram illustrating an exemplary method 200 for presenting members of a shared online space to a user of the shared online space.
  • the method 200 begins at 202, and involves determining a relationship value between the user and a member of the shared online space, at 204.
  • the user may have a plurality of members (e.g., contacts, friends, connections, etc.) in their shared online space, such as a social networking website.
  • a relationship value can be determined between the user and each of the members, for example, where a number of relationship values are equivalent to a number of members in the user's shared online space.
  • determining a relationship value between the user and a member of the shared online space comprises determining an interaction value for the user and member based on the user's and member's co-presence in the shared online space.
  • the user may have a connection with the member is a particular shared online space, such as a peer collaboration website.
  • the interaction value for the user and member relationship can be a function of instances where both the user and member are logged into the shared online space at a same time.
  • the interaction value can comprise a plurality of factors that are combined to determine the interaction value, for example.
  • the interaction value may comprise a combination of a frequency factor and a recency factor.
  • the interaction value may comprise a combination of a frequency factor and a recency factor from the user's shared online space, combined with an interaction factor from one or more other shared online spaces utilized by both the user and the member.
  • Fig. 3 is a flow chart diagram illustrating one exemplary embodiment 300 of a method for determining the interaction value, such as at 206 in Fig. 2.
  • a frequency factor can be determined for the user and member based on a frequency of a shared co-presence in the shared online space. For example, for every ten times that the user is logged onto the shared online space the member may be logged on at the same time four times. In this example, the user and member share a co-presence in the shared online space forty percent of the time that the user is logged on. Therefore, in this example, a frequency factor of 0.4 may be applied to the user and member relationship for the shared online space.
  • the frequency factor can be dynamically determined at any particular time, as the frequency of the user and member's co-presence may change. In this way, for example, members that are co-present with the user in the shared online space more frequently may represent those members having a closer relationship with the member.
  • a recency factor may be determined for the user and member based on a time of the shared co-presence in the shared online space relative to a current time. For example, a recency factor can be used to identify whether the co-presence of the user and member is more recent or older. As an illustrative example, a recency factor of one may be applied to a current co-presence, and a sliding scale down from one can be applied to previous co-presences based on the time and/or date back to a preset time and/or date (e.g., one month). In this way, for example, members that are co-present with the user in the shared online space more recently may represent those members having a closer relationship with the member.
  • recency factor that comprises a number of seconds, minutes, hours or days from the current time to the co-presence instance to which the recency factor is applied.
  • the frequency factor and recency factor can be combined to determine the interaction value 350.
  • the user and member may have four co-presences out of the user's last ten presences in the shared online space.
  • the recency factor may utilize a sliding scale from one to zero divided into a scale of 30 units for one month from the current time.
  • a first co-presence may be a current co-presence (e.g., the user and member are both currently logged onto the shared online space) resulting in a recency factor of one being applied to this co-presence.
  • a second, third and fourth co-presence may have recency factors of 0.93, 0.63 and 0.33 respectively.
  • a result of combining the frequency factor and recency factor can be 0.289 (e.g., adding the recency factors for the respective
  • an outside interaction factor for the user and member can be determined using a factor that is based on co-presence of the user and member in one or more outside shared online spaces.
  • the user may share one or more connections or interactions with the member in one or more other shared online spaces (e.g., other than the one for which a relationship value is being determined).
  • a user/member interaction value for the respective other shared online spaces can be determined, such as by using the techniques described above, and combined.
  • the interaction value 350 can be determined for the user and member relationship by combining the outside interaction factor, frequency factor and recency factor. It will be appreciated that other factors may be used to determined the interaction value 350, and the above described examples are merely described herein for illustrative purposes. The techniques and systems described herein are not limited to these examples.
  • a social network value is determined for the user and member relationship based on a number of social network connections between the user and member, at 208.
  • the user and member may be friends on a social networking website, members of an online collaboration website, following each other on a micro blogging website, and the user may subscribe to the member's blog.
  • determining the social network value based on a number of social network connections between the user and member can comprise determining a number of connections between the user and member on social network sites. For example, there are websites dedicated to social networking online between people (e.g., MySpace, Facebook, Linkedln, etc.), and there are multi-content websites that also utilize social networking (e.g., MSN, Yahoo, Google, etc.). In this example, people connect with each other on the social network sites by sending a request to be connected to another, and the request being accepted, thereby creating a connection. The number of connections between the user and member can be counted, for example, as part of the social network value. Further, in one embodiment, a number of connections may comprise indirect connections, such as those connected to direct connections (e.g., connections of connections, friends of friends, possibly capped by a predetermined degree of separation).
  • determining the social network value based on a number of social network connections between the user and member can comprise determining a number of online member feeds subscribed to by the user.
  • an online feed can comprise periodic updates to a status, blog, newsletter, and many more.
  • a feed comprises some form of information that is periodically (e.g., at regular or irregular intervals) updated online.
  • a number of member feeds such as the member's status updates on various websites, blogs, etc., that the user subscribes to (e.g., follows) can be counted toward the social network value.
  • additional online connections, interactions and/or mutual content may be used to determine one or more social network connections (e.g., since users and members interact with each other online in a variety of ways). For example, a user may appear and be tagged in a photograph on the member's shared online space (e.g., homepage, Facebook page, etc.), and vice-versa. In another example, a member may comment on a user's feed in a shared online space (e.g., the shared online space, and/or a third party shared online space), or vice-versa. Additionally, as another example, the user may invite the member to an event using the shared online space (e.g., either online or in person), or vice-versa.
  • a shared online space e.g., homepage, Facebook page, etc.
  • the shared online space e.g., Facebook page, etc.
  • the user may invite the member to an event using the shared online space (e.g., either online or in person), or vice-versa.
  • any one or all of these (and others) may be used to count toward social network connections, thereby counting toward the social network value. That is, the social network value may also take into consideration and/or be influenced by users and/or members having content in common with one another, such as, for example, appearing in each others' photos, commenting on each others' status in a social medium and/or forum, pulling social connectedness from some 3 rd party service, etc.
  • FIG. 4 is a flow diagram illustrating one embodiment 400 of a portion of a method for determining a relationship value.
  • the social network value e.g., at 208 of Fig. 2
  • a number of social network connections between the user and member is determined, at 420.
  • a number of member feeds subscribed to by the user is determined.
  • the number of connections is combined to determine the social network value 450.
  • the social network value can be seven (e.g., four + three).
  • the interaction value e.g., 350 from Fig. 3
  • the social network value 450 can be combined with the social network value 450 by multiplying the two values together, at 426, to get the relationship value 452.
  • a social network value of seven can be multiplied by a interaction value of 0.289 to yield a relationship value of 2.023.
  • the relationship value is associated with a specified visual representation of the member used in the shared online space.
  • a visual representation of the member is displayed. For example, instead of merely displaying a member's name, such as shown in 106 and 198 of Fig. 1 , an image can be displayed for the member, such as a picture of the member or some other image. In this way, in this example, a more user- friendly environment may be created, where the user's connected members can be more readily identified by an image.
  • the relationship value is attached to the image for the member.
  • FIG. 5 is a diagram illustrating one exemplary embodiment 500 of how member representations can be displayed in the online shared space.
  • the exemplary embodiment 500 may comprise a social networking site that utilizes a chat area 502, as described above, and a member display area 504.
  • the member display area 504 displays visual
  • representations for respective members that are connected to the user in the shared online space.
  • the member images can be scaled to fill the available space of the member display area 504, based on the relationship value.
  • the visual representations of the members can be scaled where the visual representation of a first member 506 is larger than the visual representation of a second member 508, as the first member's relationship value is higher than the second member's relationship value. That is, for example, a size of the member image is increased or reduced based on the relationship value, so that those members with higher values have larger images.
  • the visual representations of members can be scaled to a desired size in the display 504 based on the relationship value falling within a range of relationship values associated with the desired size. That is, in this exemplary embodiment 500, those members having a relationship value in the highest three of all member relationship value can be represented by larger scaled images 506; those having a relationship value among the next four highest can be represented by a medium sized image 508; and those members having the next sixteen highest values can be represented by a small sized image 510.
  • those members having a closer relationship with the user, based on the higher relationship value are displayed more prominently in the member display area 504, using a desired size (e.g., large, medium, small), enabling the user to interact with them more readily.
  • a desired size e.g., large, medium, small
  • different visual treatments may be applied to the visual representations of the members (e.g., as in the display area 504 of Fig. 5).
  • the desired visual treatments can be applied to the visual representations of the members in the display of the user's online space based on the relationship value associated with respective member representations.
  • the images can be altered in other ways other than (or as well as) size.
  • different color schemes may be applied to the member images, such as using brighter colors for those members having a higher relationship value with the user, and applying the color scheme to the member images using a sliding scale (e.g., bright red for the top 3, orange for the next 4, and yellow for the next 16).
  • dynamic visual properties can be applied to the member image, as associated with portion of the scale of the relationship values. For example, where members have a higher relationship value their image may have more dynamic properties, such as animation, movement, and/or actions (e.g., sparkle, change colors, etc.).
  • the location of the member's displayed image can depend on the portion of the scale of the relationship values. For example, where members have a higher relationship value their image may be placed higher in the display area; and for those with a lower relationship value, their image may be placed lower in the display area.
  • semantic application data can be applied to the visual representations of the members displayed in the member display area (e.g., 504 of Fig. 5).
  • a badge component can be attached to the visual representation (image) of the member that represents available semantic application data.
  • Fig. 6 is a component diagram illustrating one embodiment 600 of how semantic application data can be applied to member images.
  • a member display area 504 of the user's shared online space displays visual representations of the members 506, 508, 510 connected to the user.
  • available "badges" 620 are displayed, as a type of key and/or menu for the user.
  • available semantic application data can comprise an application that when activated causes an online action to be performed on the member's visual representation.
  • the star badge 620 may be applied to a member 506, which when activated (e.g., clicked on, or moved to the member image) causes the member image to sparkle or light up.
  • the hand badge 620 may be applied to a member's visual representation 508, which when activated cause the hand to wave to the member on their shared online space display. In this way, users and member can interact with each other without actually "chatting.”
  • the available semantic application data can identify things about the member.
  • a badge may identify semantic information about the member's activity status online, such as what they are currently doing online (e.g., are they available to chat, busy, working on something, etc.), and whether they have sent a message to the user, indicated by the envelope badge 620 applied to the member 506.
  • the semantic application data can identify semantic information about the member's
  • permissions with the shared online space For example, is the member merely one who uses the online space, are they an administrator, helper, or someone with editing permissions, etc.
  • the semantic application data can identify semantic information about the member's method of connection to the shared online space. For example, members may access the shared online space using a laptop, netbook, mobile smart phone, desktop, etc. A variety of badges, such as a computer or telephone 620, can be applied to the members 506 indicating their mode of connection to the shared online space. In this way, for example, the user may be able to know whether the member is at home, work, or mobile.
  • a system may be devised that can provide a user with a user interface, for example, that adapts how members connected to the user (e.g., participants in a shared online space) are displayed to the user. Images of the members can be displayed based on a strength of a relationship between the user and respective members, for example, where members having a closer relationship with the user are displayed more prominently than those having a more distant relationship, at least online. In this way, for example, the presentation of participant members can grow and scale "organically," that is, adapting to a number of members and relationships without visual jarring in the available display space.
  • Fig. 7 is a component block diagram of an exemplary system 700 for presenting members of a shared online space to a user of the shared online space.
  • a data store 702 is disposed in computer-based storage 752, such as in a computing device, and stores information used in determining a relationship value between the user and a member of the shared online space.
  • a relationship value determination component 704 is operably coupled with the data store 702 and one or more computer-based processors 754, for example, in the computing device, and it retrieves information from the data store 702 and utilizes the one or more processors 754 to determine a relationship value 760 between the user and the member of the shared online space.
  • the relationship value determination component 704 comprises an interaction value determination component 706 that utilizes information about the user's and member's co-presence in the shared online space, such as from the relationship information 750 stored in the data store 702, to determine an interaction value 756. Further, the relationship value determination component 704 comprises a social network value determination component 708 that uses information about the member's online feeds subscribed to by the user to determine a social network value 758. Additionally, the relationship value determination component 704 combines the interaction value 756 and social network value 758 for the user and member to generate the relationship value 760.
  • a relationship value association component 710 associates the relationship value with a corresponding member visual representation.
  • the corresponding member visual representation for the relationship value may be identified in the data store 702 (e.g., stored in the data store), and the relationship value calculated for that member/user relationship can be attached to (e.g., stored with) the member's visual representation in the data store 702.
  • the relationship value 760 can merely be associated with the member's visual representation by attaching some tag or identified to the RV.
  • An image scaling component 712 scales respective two or more visual representations of members in a display of the user's shared online space to fit an available screen space based on the relationship value.
  • a member image 762 can be retrieved from the data store 702, and the image scaling component 712 can scale the image 762 according to the RV associated with the member image.
  • the interaction value determination component 706 can comprise a frequency determination component 810 and a recency factor determination component 812.
  • the frequency determination component 810 can determine a frequency factor for the user and member based on a frequency of a shared co- presence in the shared online space.
  • the recency factor determination component 812 can determine a recency factor for the user and member based on a time of the shared co-presence in the shared online space relative to a current time.
  • the interaction value determination component 706 can combine the frequency factor and recency factor to generate an interaction value 756.
  • the determination component 708 can comprise a connections determination component 814 and a feed determination component 816.
  • the connections determination component 814 can determine a number of connections between the user and member on social network sites, and the feed determination component 816 can determine a number of online member feeds subscribed to by the user. Further, the social network value determination component 708 can combine the number of connections and number of feeds to determine the social network value 758.
  • the exemplary system may comprise a visual treatment component 818 that applies a desired visual treatment to visual representations of the members in the display of the user's online space 860 based on the relationship value associated with respective member
  • the member images may be visually altered by the visual treatment component 818 to identify a sort of hierarchical scheme based on the RV for the member/user relationship.
  • a color scheme may be applied, the images may be dynamically changed, or other visual alterations can be applied.
  • the image scaling component (e.g., 712 of Fig. 7) can scale visual representations of members in the user's display area 860 according to the RV assigned to respective visual representations, where a first member's visual representation is scaled larger than a second member's visual representation if the first member's relationship value is higher than the second member's relationship value. That is, for example, the larger the RV for the member image, the larger the member image is scaled in the available space of the display area 860. In this way, in this example, the display space can be filled according to a number of members present and the respective RV for the members.
  • a badging component 820 can be used in the exemplary embodiment of the system 800, and it may be used to attach a badge component to the visual representation in the display area 860 of the member that identifies available semantic application data. For example, where a user may wish to know how the member is connected to the shared online space, a badge may be attached that shows a computer, indicating the member is connected by a desktop. Further, the badge may be activated and perform an action on the image of the member, such as waving to the member on their display.
  • Still another embodiment involves a computer-readable medium comprising processor-executable instructions configured to implement one or more of the techniques presented herein.
  • An exemplary computer-readable medium that may be devised in these ways is illustrated in Fig. 9, wherein the implementation 900 comprises a computer-readable medium 908 (e.g., a CD-R, DVD-R, or a platter of a hard disk drive), on which is encoded computer-readable data 906.
  • This computer-readable data 906 in turn comprises a set of computer instructions 904 configured to operate according to one or more of the principles set forth herein.
  • the processor-executable instructions 904 may be configured to perform a method902, such as the exemplary method 200 of Fig. 2, for example.
  • processor- executable instructions 904 may be configured to implement a system, such as the exemplary system 700 of Fig. 7, for example.
  • a system such as the exemplary system 700 of Fig. 7, for example.
  • Many such computer-readable media may be devised by those of ordinary skill in the art that are configured to operate in accordance with the techniques presented herein.
  • a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer.
  • an application running on a controller and the controller can be a component.
  • One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers.
  • the claimed subject matter may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer to implement the disclosed subject matter.
  • article of manufacture as used herein is intended to
  • Fig. 10 and the following discussion provide a brief, general description of a suitable computing environment to implement embodiments of one or more of the provisions set forth herein.
  • the operating environment of Fig. 10 is only one example of a suitable operating environment and is not intended to suggest any limitation as to the scope of use or functionality of the operating environment.
  • Example computing devices include, but are not limited to, personal computers, server computers, hand-held or laptop devices, mobile devices (such as mobile phones, Personal Digital Assistants (PDAs), media players, and the like), multiprocessor systems, consumer electronics, mini computers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
  • Computer readable instructions may be distributed via computer readable media (discussed below).
  • Computer readable instructions may be implemented as program modules, such as functions, objects, Application Programming Interfaces (APIs), data structures, and the like, that perform particular tasks or implement particular abstract data types.
  • APIs Application Programming Interfaces
  • Fig. 10 illustrates an example of a system 1010 comprising a computing device 1012 configured to implement one or more embodiments provided herein.
  • computing device 1012 includes at least one processing unit 1016 and memory 1018.
  • memory 1018 may be volatile (such as RAM, for example), non-volatile (such as ROM, flash memory, etc., for example) or some combination of the two. This configuration is illustrated in Fig. 10 by dashed line 1014.
  • device 1012 may include additional features and/or functionality.
  • device 1012 may also include additional storage (e.g., removable and/or non-removable) including, but not limited to, magnetic storage, optical storage, and the like.
  • additional storage e.g., removable and/or non-removable
  • storage 1020 Such additional storage is illustrated in Fig. 10 by storage 1020.
  • computer readable instructions to implement one or more embodiments provided herein may be in storage 1020.
  • Storage 1020 may also store other computer readable instructions to implement an operating system, an application program, and the like.
  • Computer readable instructions may be loaded in memory 1018 for execution by processing unit 1016, for example.
  • Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions or other data.
  • Memory 1018 and storage 1020 are examples of computer storage media.
  • Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVDs) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by device 1012. Any such computer storage media may be part of device 1012.
  • Device 1012 may also include communication connection(s) 1026 that allows device 1012 to communicate with other devices.
  • Communication connection(s) 1026 may include, but is not limited to, a modem, a Network Interface Card (NIC), an integrated network interface, a radio frequency transmitter/receiver, an infrared port, a USB connection, or other interfaces for connecting computing device 1012 to other computing devices.
  • Communication connection(s) 1026 may include a wired connection or a wireless connection.
  • Communication connection(s) 1026 may transmit and/or receive communication media.
  • Computer readable media may include communication media.
  • Communication media typically embodies computer readable instructions or other data in a “modulated data signal” such as a carrier wave or other transport mechanism and includes any information delivery media.
  • modulated data signal may include a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal.
  • Device 1012 may include input device(s) 1024 such as keyboard, mouse, pen, voice input device, touch input device, infrared cameras, video input devices, and/or any other input device.
  • Output device(s) 1022 such as one or more displays, speakers, printers, and/or any other output device may also be included in device 1012.
  • Input device(s) 1024 and output device(s) 1022 may be connected to device 1012 via a wired connection, wireless connection, or any combination thereof.
  • an input device or an output device from another computing device may be used as input device(s) 1024 or output device(s) 1022 for computing device 1012.
  • Components of computing device 1012 may be connected by various interconnects, such as a bus.
  • Such interconnects may include a Peripheral Component Interconnect (PCI), such as PCI Express, a Universal Serial Bus (USB), firewire (IEEE 1394), an optical bus structure, and the like.
  • PCI Peripheral Component Interconnect
  • USB Universal Serial Bus
  • IEEE 1394 Firewire
  • optical bus structure and the like.
  • components of computing device 1012 may be interconnected by a network.
  • memory 1018 may be comprised of multiple physical memory units located in different physical locations interconnected by a network.
  • a computing device 1030 accessible via network 1028 may store computer readable instructions to implement one or more embodiments provided herein.
  • Computing device 1012 may access computing device 1030 and download a part or all of the computer readable instructions for execution.
  • computing device 1012 may download pieces of the computer readable instructions, as needed, or some instructions may be executed at computing device 1012 and some at computing device 1030.
  • one or more of the operations described may constitute computer readable instructions stored on one or more computer readable media, which if executed by a computing device, will cause the computing device to perform the operations described.
  • the order in which some or all of the operations are described should not be construed as to imply that these operations are necessarily order dependent. Alternative ordering will be appreciated by one skilled in the art having the benefit of this description. Further, it will be understood that not all operations are necessarily present in each embodiment provided herein.
  • the word "exemplary” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “exemplary” is not necessarily to be construed as advantageous over other aspects or designs. Rather, use of the word exemplary is intended to present concepts in a concrete fashion.
  • the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise, or clear from context, "X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then "X employs A or B" is satisfied under any of the foregoing instances.
  • the articles “a” and “an” as used in this application and the appended claims may generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form.

Abstract

L'invention concerne une ou plusieurs techniques et/ou systèmes destinés à présenter des membres d'un cyberespace partagé à un utilisateur du cyberespace partagé. Une valeur de relation est déterminée entre l'utilisateur et un membre du cyberespace partagé en : déterminant une valeur d'interaction destinée à la relation entre l'utilisateur et le membre sur la base de la présence simultanée de l'utilisateur et du membre dans le cyberespace partagé ; déterminer une valeur de réseau social pour la relation entre l'utilisateur et le membre sur la base d'un certain nombre de connexions de réseau social entre l'utilisateur et le membre, et combiner la valeur d'interaction et la valeur de réseau social. La valeur de la relation est associée à une représentation visuelle spécifiée du membre utilisé dans le cyberespace partagé, et deux ou plus de deux représentations visuelles de membres sont soumises à une modification d'échelle sur l'affichage de l'utilisateur dans le cyberespace partagé afin qu'elles soient adaptées à l'espace disponible sur l'écran, en se fondant sur la valeur de la relation.
EP10843461.4A 2010-01-13 2010-12-08 Représentation à base de relations de participants dans un cyberespace partagé Withdrawn EP2524346A4 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US12/686,480 US20110173316A1 (en) 2010-01-13 2010-01-13 Relationship based representation of participants in shared online space
PCT/US2010/059516 WO2011087636A2 (fr) 2010-01-13 2010-12-08 Représentation à base de relations de participants dans un cyberespace partagé

Publications (2)

Publication Number Publication Date
EP2524346A2 true EP2524346A2 (fr) 2012-11-21
EP2524346A4 EP2524346A4 (fr) 2013-08-07

Family

ID=44259368

Family Applications (1)

Application Number Title Priority Date Filing Date
EP10843461.4A Withdrawn EP2524346A4 (fr) 2010-01-13 2010-12-08 Représentation à base de relations de participants dans un cyberespace partagé

Country Status (6)

Country Link
US (1) US20110173316A1 (fr)
EP (1) EP2524346A4 (fr)
JP (1) JP5754602B2 (fr)
CN (1) CN102713952B (fr)
CA (1) CA2786850A1 (fr)
WO (1) WO2011087636A2 (fr)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8606792B1 (en) * 2010-02-08 2013-12-10 Google Inc. Scoring authors of posts
US20110270850A1 (en) * 2010-04-30 2011-11-03 Microsoft Corporation Prioritization of Resources based on User Activities
US9697500B2 (en) 2010-05-04 2017-07-04 Microsoft Technology Licensing, Llc Presentation of information describing user activities with regard to resources
US9185469B2 (en) * 2010-09-30 2015-11-10 Kodak Alaris Inc. Summarizing image collection using a social network
US8918463B2 (en) 2011-04-29 2014-12-23 Facebook, Inc. Automated event tagging
US9477574B2 (en) 2011-05-12 2016-10-25 Microsoft Technology Licensing, Llc Collection of intranet activity data
US8732255B2 (en) * 2011-09-09 2014-05-20 Facebook, Inc. Dynamically created shared spaces
US9886495B2 (en) * 2011-11-02 2018-02-06 Alexander I. Poltorak Relevance estimation and actions based thereon
US8930385B2 (en) 2011-11-02 2015-01-06 Alexander I. Poltorak Relevance estimation and actions based thereon
US9817556B2 (en) * 2012-12-26 2017-11-14 Roovy, Inc. Federated commenting for digital content
US20150140978A1 (en) * 2013-11-18 2015-05-21 Zeta Project Swiss GmbH Voice conversations in a unified and consistent multimodal communication framework
US10127300B2 (en) 2013-12-23 2018-11-13 International Business Machines Corporation Mapping relationships using electronic communications data
US10395260B2 (en) 2015-01-30 2019-08-27 Microsoft Technology Licensing, Llc Federation of content items in a social network based on personalized relevance
US11456990B2 (en) * 2019-04-25 2022-09-27 Project Affinity, Inc. Managing connection strengths using alliance data
US20240086024A1 (en) * 2022-09-14 2024-03-14 Lucid Software, Inc. Creation and deployment of digital activity

Family Cites Families (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7539697B1 (en) * 2002-08-08 2009-05-26 Spoke Software Creation and maintenance of social relationship network graphs
US7970712B2 (en) * 2002-12-19 2011-06-28 International Business Machines Corporation Displaying strengths of social relationships between a user and other people
US7069308B2 (en) * 2003-06-16 2006-06-27 Friendster, Inc. System, method and apparatus for connecting users in an online computer system based on their relationships within social networks
US8015119B2 (en) * 2004-01-21 2011-09-06 Google Inc. Methods and systems for the display and navigation of a social network
US7269590B2 (en) * 2004-01-29 2007-09-11 Yahoo! Inc. Method and system for customizing views of information associated with a social network user
US7606168B2 (en) * 2005-01-28 2009-10-20 Attenex Corporation Apparatus and method for message-centric analysis and multi-aspect viewing using social networks
JP4299843B2 (ja) * 2005-04-27 2009-07-22 パナソニック株式会社 映像要約装置、端末装置、映像要約システムおよび映像要約方法
US7855803B2 (en) * 2005-06-20 2010-12-21 Canon Kabushiki Kaisha Printing control apparatus, information processing apparatus, control method therefor, computer program, and computer-readable storage medium
US7669123B2 (en) * 2006-08-11 2010-02-23 Facebook, Inc. Dynamically providing a news feed about a user of a social network
US8171128B2 (en) * 2006-08-11 2012-05-01 Facebook, Inc. Communicating a newsfeed of media content based on a member's interactions in a social network environment
US8510230B2 (en) * 2006-11-16 2013-08-13 Avaya, Inc. Cohesive team selection based on a social network model
US8954500B2 (en) * 2008-01-04 2015-02-10 Yahoo! Inc. Identifying and employing social network relationships
JP2008305055A (ja) * 2007-06-06 2008-12-18 Nippon Telegr & Teleph Corp <Ntt> 検索処理装置、検索処理方法、検索処理プログラムおよびそのプログラムを記録した記録媒体
US8141002B2 (en) * 2007-07-20 2012-03-20 International Business Machines Corporation System and method for visual representation of a social network connection quality
US20090063995A1 (en) * 2007-08-27 2009-03-05 Samuel Pierce Baron Real Time Online Interaction Platform
US20090070700A1 (en) * 2007-09-07 2009-03-12 Yahoo! Inc. Ranking content based on social network connection strengths
JP4295807B2 (ja) * 2007-09-20 2009-07-15 株式会社茂木ファシリティコンサルタンツ ユーザ所在状況確認装置、ユーザ所在状況確認方法、及びユーザ所在状況確認プログラム
CA2616234A1 (fr) * 2007-12-21 2009-06-21 Ibm Canada Limited - Ibm Canada Limitee Systeme et methode d'interaction entre des utilisateurs de cybercommunaute
US8499247B2 (en) * 2008-02-26 2013-07-30 Livingsocial, Inc. Ranking interactions between users on the internet
US8788942B2 (en) * 2008-02-29 2014-07-22 Microsoft Corporation Enterprise social networking software architecture
US20090282104A1 (en) * 2008-05-09 2009-11-12 O'sullivan Patrick Joseph System and method for indicating availability
US7882191B2 (en) * 2008-06-13 2011-02-01 Messagemind, Inc. Method and system for mapping organizational social networks utilizing dynamically prioritized e-mail flow indicators
US20090319940A1 (en) * 2008-06-20 2009-12-24 Microsoft Corporation Network of trust as married to multi-scale
WO2010001483A1 (fr) * 2008-07-04 2010-01-07 パイオニア株式会社 Dispositif et procédé d'estimation de relation
US20100082403A1 (en) * 2008-09-30 2010-04-01 Christopher William Higgins Advocate rank network & engine
CN101425093A (zh) * 2008-12-05 2009-05-06 腾讯科技(深圳)有限公司 基于社会性网络关系链的联系人动态内容聚合方法及系统
US9740753B2 (en) * 2008-12-18 2017-08-22 International Business Machines Corporation Using spheres-of-influence to characterize network relationships
US8219513B2 (en) * 2008-12-19 2012-07-10 Eastman Kodak Company System and method for generating a context enhanced work of communication
US20100161369A1 (en) * 2008-12-23 2010-06-24 International Business Machines Corporation Application of relationship weights to social network connections
CN101510856A (zh) * 2009-03-12 2009-08-19 腾讯科技(深圳)有限公司 一种sns网络中成员关系圈的提取方法和装置
US8938677B2 (en) * 2009-03-30 2015-01-20 Avaya Inc. System and method for mode-neutral communications with a widget-based communications metaphor
US20100280860A1 (en) * 2009-04-30 2010-11-04 Adaptiveblue Inc. Contextual social network based on the semantic web
US8577872B2 (en) * 2009-10-13 2013-11-05 Microsoft Corporation Selection of photos based on tagging history
US8346898B2 (en) * 2009-12-29 2013-01-01 International Business Machines Corporation Automated relationship classification

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
No further relevant documents disclosed *
See also references of WO2011087636A2 *

Also Published As

Publication number Publication date
CA2786850A1 (fr) 2011-07-21
WO2011087636A2 (fr) 2011-07-21
US20110173316A1 (en) 2011-07-14
JP5754602B2 (ja) 2015-07-29
EP2524346A4 (fr) 2013-08-07
CN102713952B (zh) 2016-10-26
CN102713952A (zh) 2012-10-03
WO2011087636A3 (fr) 2011-10-06
JP2013517558A (ja) 2013-05-16

Similar Documents

Publication Publication Date Title
US20110173316A1 (en) Relationship based representation of participants in shared online space
US11088986B2 (en) System and method for user communication in a network
US9928752B2 (en) Social choice engine
JP6019232B2 (ja) ソーシャルネットワーキングシステムにおけるイベントゲストリストのカスタマイズされた提示
US9313240B2 (en) Visibility inspector in social networks
US9773229B2 (en) Systems and methods for providing contact group member suggestions
CN110889667B (zh) 提供对话参与者的上下文信息及使能群组通信
US20150334075A1 (en) Systems and methods implementing user interface objects
US20150379130A1 (en) Soft Matching User Identifiers
US9338403B2 (en) Persistent conversations
US20070100939A1 (en) Method for improving attentiveness and participation levels in online collaborative operating environments
US20140229293A1 (en) Techniques for facilitating the promotion of organic content
US20130088484A1 (en) Displaying content items related to a social network group
US20130151637A1 (en) System and methods for filtering and organizing events and activities
US9253223B1 (en) Live interaction in persistent conversations
US9350692B1 (en) Integration of email and persistent conversations
US20150209677A1 (en) Method and apparatus for an online comment contest service
US9705842B2 (en) Integrating communication modes in persistent conversations
US20170109798A1 (en) Managing shareable content in a social network
US20140280542A1 (en) Social competition engine
US9391947B1 (en) Automatic delivery channel determination for notifications
US10007722B2 (en) Presenting collaboration summaries of artifacts to improve engagement of user in collaboration activities
US20200302553A1 (en) Systems and methods for selectivity in matching couples
TW202113576A (zh) 活動分發方法、裝置和設備
Meebo et al. 3rd Floor, Mountain View, CA, 94041; 650.237. 3130; comments@ meebo. com; http://www. meebo. com; free website.

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

17P Request for examination filed

Effective date: 20120709

AK Designated contracting states

Kind code of ref document: A2

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

DAX Request for extension of the european patent (deleted)
A4 Supplementary search report drawn up and despatched

Effective date: 20130709

RIC1 Information provided on ipc code assigned before grant

Ipc: G06Q 50/00 20120101AFI20130703BHEP

17Q First examination report despatched

Effective date: 20130723

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN

18D Application deemed to be withdrawn

Effective date: 20140814